Benjamin Guedj

493 total citations
19 papers, 114 citations indexed

About

Benjamin Guedj is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Benjamin Guedj has authored 19 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 4 papers in Statistics and Probability. Recurrent topics in Benjamin Guedj's work include Machine Learning and Algorithms (6 papers), Statistical Methods and Inference (3 papers) and Machine Learning and Data Classification (3 papers). Benjamin Guedj is often cited by papers focused on Machine Learning and Algorithms (6 papers), Statistical Methods and Inference (3 papers) and Machine Learning and Data Classification (3 papers). Benjamin Guedj collaborates with scholars based in France, United Kingdom and Canada. Benjamin Guedj's co-authors include G. Guillot, Pierre Alquier, Shi Zhou, Gérard Biau, James D. Malley, Pierre Latouche, Sébastien Gadat, Arnaud Guyader, Giuseppe Durisi and Le Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Neurocomputing.

In The Last Decade

Benjamin Guedj

18 papers receiving 113 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Benjamin Guedj France	7	40	22	14	14	13	19	114
Madhu Advani United States	6	65 1.6×	21 1.0×	8 0.6×	15 1.1×	25 1.9×	9	159
James Balamuta United States	7	59 1.5×	19 0.9×	42 3.0×	3 0.2×	10 0.8×	13	214
Ekaterina Krymova Switzerland	5	28 0.7×	19 0.9×	9 0.6×	2 0.1×	5 0.4×	19	110
Daniel J. McDonald United States	8	16 0.4×	20 0.9×	24 1.7×	3 0.2×	5 0.4×	32	188
Clara Fannjiang United States	8	89 2.2×	18 0.8×	11 0.8×	3 0.2×	24 1.8×	12	238
A. Levin United States	7	34 0.8×	70 3.2×	5 0.4×	8 0.6×	13 1.0×	12	182
Wittawat Jitkrittum Japan	6	71 1.8×	17 0.8×	14 1.0×	2 0.1×	35 2.7×	17	179
Megan Owen United States	8	35 0.9×	46 2.1×	7 0.5×	7 0.5×	35 2.7×	15	219
MW Warren United States	10	9 0.2×	28 1.3×	2 0.1×	15 1.1×	14 1.1×	21	282
Vinayak Rao United States	8	103 2.6×	4 0.2×	63 4.5×	18 1.3×	14 1.1×	22	179

Countries citing papers authored by Benjamin Guedj

Since Specialization

Citations

This map shows the geographic impact of Benjamin Guedj's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benjamin Guedj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Guedj more than expected).

Fields of papers citing papers by Benjamin Guedj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Guedj. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benjamin Guedj. The network helps show where Benjamin Guedj may publish in the future.

Co-authorship network of co-authors of Benjamin Guedj

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Guedj. A scholar is included among the top collaborators of Benjamin Guedj based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin Guedj. Benjamin Guedj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Hellström, Fredrik, Giuseppe Durisi, Benjamin Guedj, & Maxim Raginsky. (2025). Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. 18(1). 1–223. 4 indexed citations

Zhou, Shi, et al.. (2024). Discord in the voter model for complex networks. Physical review. E. 109(2). 24312–24312. 4 indexed citations

Guedj, Benjamin, et al.. (2024). Generalisation bounds for kernel PCA through PAC‐Bayes learning. Stat. 13(4).

Zhang, Jie M., Mark Harman, Benjamin Guedj, Earl T. Barr, & John Shawe‐Taylor. (2023). Model validation using mutated training labels: An exploratory study. Neurocomputing. 539. 126116–126116. 1 indexed citations

Capson‐Tojo, Gabriel, et al.. (2023). Bayesian uncertainty quantification for anaerobic digestion models. Bioresource Technology. 394. 130147–130147. 1 indexed citations

Latouche, Pierre, et al.. (2022). MAGMA: inference and prediction using multi-task Gaussian processes with common mean. Machine Learning. 111(5). 1821–1849. 6 indexed citations

Peng, Pai, et al.. (2022). Reprint: A Randomized Extrapolation Based on Principal Components for Data Augmentation. SSRN Electronic Journal. 1 indexed citations

Guedj, Benjamin. (2021). Still No Free Lunches: The Price to Pay for Tighter PAC-Bayes Bounds. MDPI (MDPI AG). 4 indexed citations

Guedj, Benjamin, et al.. (2021). Forecasting elections results via the voter model with stubborn nodes. Applied Network Science. 6(1). 12 indexed citations

10.

Guedj, Benjamin, et al.. (2021). Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly. Entropy. 23(11). 1534–1534. 2 indexed citations

11.

Guedj, Benjamin, et al.. (2020). From industry-wide parameters to aircraft-centric on-flight inference: Improving aeronautics performance prediction with machine learning. SHILAP Revista de lepidopterología. 1. 2 indexed citations

12.

Alquier, Pierre & Benjamin Guedj. (2017). An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations

13.

Guedj, Benjamin, et al.. (2017). PAC-Bayesian high dimensional bipartite ranking. Journal of Statistical Planning and Inference. 196. 70–86. 2 indexed citations

14.

Alquier, Pierre & Benjamin Guedj. (2017). Simpler PAC-Bayesian bounds for hostile data. Machine Learning. 107(5). 887–902. 13 indexed citations

15.

Li, Le, et al.. (2016). A Quasi-Bayesian Perspective to Online Clustering. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations

16.

Biau, Gérard, et al.. (2015). COBRA: A combined regression strategy. Journal of Multivariate Analysis. 146. 18–28. 11 indexed citations

17.

Chopin, Nicolás, et al.. (2015). On some recent advances on high dimensional Bayesian statistics. SHILAP Revista de lepidopterología. 51. 293–319. 6 indexed citations

18.

Guedj, Benjamin & G. Guillot. (2011). Estimating the location and shape of hybrid zones. Molecular Ecology Resources. 11(6). 1119–1123. 25 indexed citations

19.

Guedj, Benjamin, et al.. (2007). "RecognizeCane" : The new concept of a cane which recognizes the most common objects and safety clues. Conference proceedings. 83. 6356–6359. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact